iPhone 12
Geekbench AI Score
1359
Single Precision Score
1524
Half Precision Score
578
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gamer_321 |
| Upload Date | April 06 2025 04:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
334
62.1 IPS |
|
|
Image Classification (HP)
|
100% |
327
60.7 IPS |
|
|
Image Classification (Q)
|
97% |
320
59.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1185
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1492
24.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1579
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4314
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
6172
7.20 IPS |
|
|
Pose Estimation (Q)
|
97% |
5725
6.70 IPS |
|
|
Object Detection (SP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (HP)
|
100% |
665
52.7 IPS |
|
|
Object Detection (Q)
|
92% |
637
50.8 IPS |
|
|
Face Detection (SP)
|
100% |
2520
29.9 IPS |
|
|
Face Detection (HP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (Q)
|
100% |
2032
24.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5261
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5578
43.0 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
35.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11640
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13529
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12731
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1446
53.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1480
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
239
318.9 IPS |
|
|
Text Classification (HP)
|
100% |
239
318.9 IPS |
|
|
Text Classification (Q)
|
93% |
164
219.9 IPS |
|
|
Machine Translation (SP)
|
100% |
384
6.62 IPS |
|
|
Machine Translation (HP)
|
100% |
390
6.72 IPS |
|
|
Machine Translation (Q)
|
98% |
363
6.27 IPS |
